Home Data Science Courses Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD
Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD

by EDX
★ 8.5/10

Advance your linear algebra skills with Georgia Tech. Learn orthogonality, QR decomposition, and SVD in this rigorous 3-week course.

Why this course

  • Covers high-level linear algebra concepts essential for machine learning
  • High-quality instruction from Georgia Tech faculty
  • Practical focus on QR decomposition and least squares
  • Excellent preparation for advanced data science
Read Full Review of This Course Enroll Now on EDX

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